JobDescription : Start Date 4/7/18 End Date 2/8/18 Salary Competitive
The Role: As the Data Manager for SF-EMEA you will manage a team of 5-6 individuals plus the Day-to-Day research and management of Structured Finance Assets which includes but not limited to Covered Bonds, Asset Backed Securities, CMBS, RMBS, ABCP and Small-Medium Enterprises - ensuring quality, timeliness and integrity. You will be tasked with executing current processes, utilizing various applications and adhering to regulatory requirements and internal business rules. The position will exemplify "best in class" customer support and service ensuring strong communication and professionalism are followed and you'll work to enhance day-to-day operations to improve accuracy and efficiency.
The Impact: This role provides a vital connection between S&P Global Ratings data and global markets by ensuring quality data for consumption by downstream products and investors. The role has a core impact to our stakeholders, serves as the backbone of S&P Global Ratings process and has high visibility within senior management, analytical and operational groups.
The Career Opportunity: An individual who excels at this role will be known throughout numerous leadership teams, allowing for many opportunities of growth within data, operations or analytical sides of the Business.
The Team / The Business: The global team is supportive and collaborative. They are efficient in moving forward with the group's mission and goals. A new member of this team will hit the ground running and partner with the team members immediately.
BS/BA degree required, preferably in Business/Finance with a solid understanding of Structured Finance asset classes
Extensive work experience (including internships)
In-depth knowledge of databases, data sets, data processing, and data mapping.
Proficiency in Excel and ability to manipulate large data sets
Strong Word, PowerPoint, VISIO skills and SQL experience is a plus
Ability to write process manuals
Identify where efficiencies can be made and drive through that process
Knowledge and insight of preventive measures and controls to ensure data accuracy
Excellent organizational and time management skills and ability to thrive in a deadline-driven environment
Strong written and verbal skills
Good analytical skills and demonstrated ability to effectively troubleshoot and provide solutions
Strong work ethic, quick learner and ability to work effectively with global teams.
Auto Processing Tool Project Management experience
Artificial Intelligence, Robotics and Machine Leaning experience a plus
Internal Number: 4661566
About S&P Global
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